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sap aps.ppt

sap aps

年纪青
2010-11-24 0人阅读 举报 0 0 暂无简介

简介:本文档为《sap apsppt》,可适用于IT/计算机领域

SAPAPSSAPAPSOptimizationwithSAPAPSContentContentIntroductionModelingSupplyChainManagementProblemsOptimizationinAPO(Overview)IntroductionIntroductionModelingSupplyChainManagementProblemsOptimizationinAPOOptimizingtheSupplyChainOptimizingtheSupplyChainBenefitslowerinventoriesreducedproductionandtransportationcostshigherservicelevelincreasedmanufacturingthroughputbetterreturnonassetsOptimizingtheSupplyChainOptimizingtheSupplyChainChallengesmodelaccuracyverydetailedmodeling=>largeoptimizationproblems>severalGigaBytemainmemoryallowanadequatemodelingofthesupplychainplanningproblemgenericoptimizerstandardsoftwareapproachshouldbeconfigurabletosolvesupplychainscenariosforvariousbusinessareas>advancedoptimizationlibrariescanbeusedasbasicbuildingblocksscalabilitytradeoffbetweensolutionqualityandusedruntimeAPO:OptimizingtheSupplyChainAPO:OptimizingtheSupplyChainmodelaccuracy=>dualmodelingapproachaggregateplanning(SNP)detailedplanning(PPDS)genericoptimizergenericframework,eg,severalschedulingalgorithmsplannermayselectmostappropriatemethodtosolvehisproblemintegrationoffurtheroptimizationalgorithmspossiblescalabilitysystemarchitecture,eg,tierclientserverarchitecturecombinationofbasicoptimizersanddecompositiontechniquesLifeCycleofanORProjectLifeCycleofanORProjectProblemspecificationbusinessanalysisanddatacollectiondefinitionofproblem,identificationofbusinessgoalsproblemmustbequantifiedtoderiveamathematicalmodelinAPO:varietyofproblemsencounteredbymanufacturingindustriesModelformulationmodel=abstractrepresentationoftherealworldproblemimportanttopics:whichfactorsaffecttheoutcomewhataretheachievedgoalswhataretherestrictionsquantificationofdecisionvariables,objectivesandconstraints=>mathematicalmodelinAPO:genericmodelswhichcanbeappliedtodifferentplanningscenariosAlgorithmchoiceofappropriatealgorithmfordifferentproblemclassessomealgorithmsaremoreefficientthanothersforagivenprobleminAPO:advancedstateoftheartalgorithmsforsolvingvariousORproblemsSolutionassessmenttradeoffbetweenthequalityofthesolutionandthetractabilityofthemodelevaluationofresult,usually:enrichementandrefinementofthemodelinAPO:modelsofferedbyAPOcoverdiverseneedsfordifferentindustrialapplicationsalgorithmsarethoroughlytestedtoprovidethebestofbreedsolutionOptimizationinAPOOptimizationinAPOSolutionTechniquesinAPOOptimizationinAPOOptimizationinAPOUseofILOGLibrariesinAPOILOGConcertSolverCPLEXSchedulerDispatcherLP,MILPCPTS (ND,SNP)(PPDS)(TPVS,CampaignOptimizerinPPDS)APOImplementation:flexibilityexpenseAPOImplementation:flexibilityexpenseAPOABAPApplicationsCModules:OptimizersABAPCAPOImplementation:flexibilityexpenseAPOImplementation:flexibilityexpenseflexibilityexpenseAPOABAPApplicationsCModules:OptimizersABAPClowhighcustomizingprogrammingflexibilityexpenselowhighcustomizingprogrammingOptimization“Cartridges”(Libraries,ODF,etc)CSAPAGOptimizationExtensionWorkbench(APX)*OptimizationExtensionWorkbench(APX)OptimizationExtensionWorkbench(APX)Introduction:ThepowerofstandardoptimizationThechallenge:ExtendedrequirementsofthemarketAnexample:“TrimOptimization”Thesolution:APOOptimizationExtensionWorkbenchIntroduction:ThepowerofstandardoptimizationIntroduction:ThepowerofstandardoptimizationDeplDemandPlanningDPSNPPPDSexecutionSupplyNetworkPlanningProductionPlanningDetailedSchedulingDeploymentRAPOThepowerofstandardoptimizationThepowerofstandardoptimizationDeplDemandPlanningDPSNPPPDSexecutionSupplyNetworkPlanningWhenandwherewillwhichdemandbesatisfiedbestProductionPlanningDetailedSchedulingDeploymentSolverRAPOThepowerofstandardoptimizationThepowerofstandardoptimizationDeplDemandPlanningDPSNPPPDSexecutionSupplyNetworkPlanningWhenandwherewillwhichdemandbesatisfiedbestProductionPlanningDetailedSchedulingWhenandwherewillwhichorderoroperationprocessedbestDeploymentSolverRAPOThepowerofstandardoptimizationThepowerofstandardoptimizationDeplDemandPlanningDPSNPPPDSexecutionSupplyNetworkPlanningWhenandwherewillwhichdemandbesatisfiedbestProductionPlanningDetailedSchedulingWhenandwherewillwhichorderoroperationprocessedbestDeploymentHowaregoodreceiptsmatchedwiththedemandsSolverRAPOExtendedrequirementsExtendedrequirementsDedicatedusershavespecialrequirementsconcerningadditionalordifferentconstraintsmaterialrequirements(geometry,volume,weight,)constraintsconcerningthepegging,PPMorlocationselectiontechnicalprocessrequirementsindividualtargetvaluesminimizeinventory,minimizegarbageoroffcuts,maximizebalancing,maximizemachineusage,minimizemachinewearitmustbepossibletoextendallplanningcomponentswithindividualoptimizersoptimizeperformancemeasureswhichareimportantforaspecificuserThemarketThemarketAnExample:“TrimOptimization”AnExample:“TrimOptimization”CoilsfromrollingmillOffcutsCustomerorders:Cuttedcoils(lengthwidth)CuttingSAPAGOptimizationExtensionWorkbench(APX)*AnExample:“TrimOptimization”AnExample:“TrimOptimization”CuttingCuttingCoilsfromrollingmillOffcutsCustomerorders:Cuttedcoils(lengthwidth)ABAdditionalconstraints:Ex:length(B)length()width(B)width()width()mostprobablehurtbystdtoolsHugeamountofoffcutsSAPAGOptimizationExtensionWorkbench(APX)*AnExample:“TrimOptimization”AnExample:“TrimOptimization”CuttingCuttingCoilsfromrollingmillOffcutsCustomerorders:Cuttedcoils(lengthwidth)ABTarget:respectadditionalconstraintsTarget:minimizespecialmeasuresSAPAGOptimizationExtensionWorkbench(APX)*APOOptimizationExtensionWorkbench(APX)APOOptimizationExtensionWorkbench(APX)APOGUIAPOOptimizationExtensionWorkbench(APX)APOOptimizationExtensionWorkbench(APX)Erlighjqeroiutghaq“Frame”:OCXcontainerItsuptotheocxprogrammertobuildtheoptimizer’sGUItosupplyitwithnecessarydatatocontroltheoptimizer’srunEmbeddedExternaloptimizerprovidedasOCXAPOOptimizationExtensionWorkbench(APX)APOOptimizationExtensionWorkbench(APX)APOGUIThedatabaseshouldremainintheAPOsystem!UsageofexternaloptimizersUsageofexternaloptimizersA)exclusive,iewithoutanyotheroptimizationtoolB)incombinationwithotheroptimizersstandardoptimizertobeusedinsequence:initialoptimizationfollowing“repair”optimizerotherexternaloptimizersex:casting:“coffinshape”optimizationrollingmill:“coffinshape”optimizationcutting:“trim”optimizationSummaryPreviewSummaryPreviewSummaryAnyexternaloptimizerbecomesanintegralcomponentofAPOeventhoughthereisaclearinterfacebetweenAPOandtheexternaloptimizerDataaretobeexchangedviaBAPIsThesetofBAPIsistobeextendedstepbystepPreviewGivetheusertheabilitytoextendthedatabaseanditscorrespondingcomponentsconcerninghisownrequirementsIntegrationoftheOptimizationExtensionWorkbenchwiththeHeuristicsFrameworkofPPDS(batchoptimization)RealtimeplanningvsOptimizationRealtimeplanningvsOptimizationRealtimeplanningclassicalwayofplanninginRandAPOincrementalproceedingcontrolledbyheuristicsmainareasofinterest:rapidresponseOptimizationnewfeatureinAPOplanning(scheduling)abunchofdemands(orders)inonestepbasedongeneraloptimizationalgorithmscontrolledbyseveralstrategies(„metaheuristics“)mainareaofinterest:optimizationconcerningpredefinedparametersMultiTierArchitecturewithAPOMultiTierArchitecturewithAPODedicatedhardwaresoftwaresystemSamedata,differentrepresentationReasonisperformanceIntegrationoftheOptimizersinAPOIntegrationoftheOptimizersinAPOFrontendGUI,OptOCXAPOApplServerAPODBServerAPOLiveCacheAPOOptServerOptimizerArchitectureOptimizerArchitectureOptimizationServerPowerfulCalgorithmsFastaccessdatamodels“Allinonebox”possibleOneormoreexternalservers:CPUpowertailoredtocomputingneedsParallelprocessingmultiagentoptimizationChallenge:Scalability(Hardware)Challenge:Scalability(Hardware)ParallelizationMultiusertierClientServerSeparationLiveCacheandoptimizationserverMultipleoptimizationserverMultiProcessorLoadbalancingOptimizationServerOptimizationServerfewoptimization(egoptimizationrunovernight)=>optimizationintegratedinapplicationserveroptimizationonline=>separateoptimizationservergatewaytoapplicationserveralotofoptimizationonline,alotofusers,failsafe=>severaloptimizationaswellasapplicationserverAPPOPTAPPOPTGWAPPAPPOPTOPTGWGWOptimization–ImprovementsinAPOOptimization–ImprovementsinAPOSNPOptimizeravailableforInstallationsImprovedPerformanceReducedMemoryConsumptionPPDSOptimizeravailableforInstallationswithAPOGAReleaseCommonOptimizationFramework(Installation,Customizing)ComponentsofanAPOSystemComponentsofanAPOSystemPresentationServer:NTIntel,Windows,Windows,SAPGUID(recommended)ApplicationServer(AP):NT,AIXx(x>=),HPUX,Solaris(recommended),TruUNIXFDatabaseServer(DB):NT,AIXx(x>=),HPUX,Solaris(recommended),TruUNIXFSupportedDatabases:Oracle,Informix,SAPDB,MSSQLServer,DBUDBEEEliveCache:NTIntel(alsoIntelPSE),WindowsOptimisationServer:NTIntel,WindowsSAPNetalias“dbosplatforms”PlatformsAPOReleasePlatformsAPOReleaseCBasisSystemBusinessInformationWarehouseBUnixplatformsforliveCacheSunSolarisBit(Q)IBMAIXBit(Q)HPUXBit(Q)CompaqTru(Q)SiemensReliantBit(Q)SystemLandscapeduringProjectLifeCycleSystemLandscapeduringProjectLifeCycleAPORTestConsolidationTrainingProductionTestConsolidationTrainingProductiontEvaluationTestAPOonlyTestwithOLTPPregolive(Post)goliveMaintenanceSystemSizingGoingLiveSystemSizingGoingLiveSelfServiceQuicksizerforAPOavailableSAPNetaliassizingProcessofsizingsimilartoRQuestionnairefordatavolumeMemoryCPUcategoryproposalbyQuicksizerSystemofferbyhardwarepartnerSystemLandscapeDevelopmentSystemTestQASystemProductionSystemSAPBenchmarkforAPOavailableforGAshipmentQAProdDevGoingLiveandEarlyWatchGoingLiveandEarlyWatchTCCServiceandMonitorforAPOTechnicalanalysisandtuningTopresourceconsumersOptimizationofindexes,database,reorganizationsetcOptimizationbycodingchangesBusinessprocessanalysisandtuningOptimizationbyredesigningreporting,backgroundjobs,andbusinessprocessesExamples:Planningbookstructure,SNPOptimizer(profiles),parallelprocessingAvailableforandGoingLiveandEarlyWatchGoingLiveandEarlyWatchMonthsMonthMonthAnalysisSizingPlausibilityCheckConfigurationLoaddistributionRBasisOptimizationCheckcentralbusinessprocessTransactionswithhighresourceconsumptionSizingadjustmentsVerificationConfigurationSizingVerificationSystemusageandbottleneckanalysisRegularEarlyWatchAnalysisGoLiveSupportFinalPreparationUsefulTransactionsUsefulTransactionssm>RFCDestinationssapapocopt>OptimizationServerMasterDatasapapocopt>ParallelOptimizationsapapoopt>PPDSOptimizer:CustomizingLCConnectionTest(F)sapapoopt>PPDSOptimizer:UserDisplaysapapoopt>UsersonOptimizationServerssapapoopt>VersionOverviewOptimizationServersapapoopt>OptimizerInternalSettingssapapoopt>HistoryofOptimizationRunssapapoopt>ProcessOverviewofOptimizationServersapapoom>ConsistencyCheckLiveCacheDatabaseSummarySummaryTourenplanungAPOSolversLPMILPHeuristics,DecompositionTechniquesGA,CP,TS,DecompositionTechniquesGeneratingfirstsolutionTPVS(egHeuristic)Improvingasolution(egTS)NDSNPPPDSOptimizationExtensionWorkbench(APX)SummarySummaryNetworkDesignstrategicdecisiontoolgeographicalheuristicsandcostbasedoptimizationSupplyNetworkPlanningmidtermproductionanddistributionplanningheuristicsandcostbasedoptimization>continuousoptimization:LP>discreteoptimization:MILPdiscretizationshouldonlybeusedifabsolutelynecessarydecompositiontechniqueslimitationofruntimenumberofimprovementsSummarySummaryPPDSshorttermproductionplanningdetailedscheduling´AdvancedHeuristics´GAandCPdecompositiontechniquestest:solutionmethodruntimeweightsinobjectivefunctionspecificsolutionmethodforcampaignoptimizationMultiAgentOptimizationforreducingruntimeSummarySummaryTPVSshorttermdistributionplanning´AdvancedHeuristic´TStwostepoptimizationvehicleschedulingcarrierselectionlimitoptimizerloadbyseveralselectioncriteria(locations,orders,)test:runtimeweightsinobjectivefunctionSummarySummaryOptimizationExtensionWorkbenchforspecificoptimizationproblemsindividualobjectivesadditionalconstraintsexternaloptimizerbecomesanintegralcomponentofAPO

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